
What happened
Google Cloud announced Gemini Enterprise Agent Platform on April 22, 2026, an evolution of Vertex AI that keeps its machine learning and MLOps tools and adds features to build, run, govern and optimize AI agents.
Why it matters
Enterprises already running machine learning workloads on Google Cloud can add agent development without leaving the platform, though existing Vertex AI services have been renamed, including Agent Studio and Agent Runtime.
Summaries like this, every morning.
The rename formalizes a shift Google Cloud had already been making: Vertex AI, once positioned around traditional machine learning, now also carries the tools needed to develop, deploy and manage AI agents. Keeping the older ML and MLOps services under new names suggests Google wants existing customers to stay on the same platform as they move into agent-based workflows.\\n\\nGoogle Cloud is not alone in reworking its AI platform names. Amazon SageMaker became Amazon SageMaker AI, and Microsoft's Azure AI Studio went through Azure AI Foundry to become Microsoft Foundry, so buyers comparing options will need to check which naming scheme each comparison document uses.\\n\\nThe article also flags that Google itself uses two names in parallel: product pages and official blogs say Gemini platform, while documentation and pricing pages say Gemini Enterprise Agent Platform. A reader's practical advice from the piece is to decide which business process, user and data an agent will touch before choosing a model or building a prototype.
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